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All Journal Tech-E Jurnal Ilmiah FIFO JITK (Jurnal Ilmu Pengetahuan dan Komputer) Dinamisia: Jurnal Pengabdian Kepada Masyarakat IJISCS (International Journal Of Information System and Computer Science) Progresif: Jurnal Ilmiah Komputer Jurnal Informasi dan Teknologi Journal of Applied Engineering and Technological Science (JAETS) TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research Abdi-Dharma NEAR: Jurnal Pengabdian kepada Masyarakat Jurnal Maklumatika Journal of Systems Engineering and Information Technology Jurnal Satya Informatika Jurnal Pengabdian Masyarakat Nasional IJISCS (International Journal of Information System and Computer Science) Sainteknol : Jurnal Sains dan Teknologi
Ruci Meiyanti
Universitas Mercu Buana
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Implementasi Algoritma Random Forest untuk Analisis Sentimen Ulasan Pengguna Aplikasi Merdeka Mengajar Yuwan Jumaryadi; Ruci Meiyanti; Riri Fajriah; Athiyyah Nisrina Mahsyar; Puspita Sari Anggraeni
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.530

Abstract

Education plays a major role in determining the quality of human resources. The role of teachers is very important as educators who provide guidance and learning. As an effort to facilitate teachers to carry out their duties and responsibilities, especially in the Merdeka Mengajar curriculum, the Ministry of Education and Culture has developed an application called Merdeka Mengajar. However, there is no method to classify sentiment or opinions from comment data on the Merdeka Mengajar application user satisfaction survey on the Google Playstore, in order to determine the extent of user satisfaction with the Merdeka Mengajar application. This study aims to observe sentiment analysis regarding user opinions on the Merdeka Mengajar application on the Google Playstore using the Random Forest, SVM and Naïve Bayes algorithms using TF-IDF weighting for the classification process. This study uses secondary data derived from user reviews of the Merdeka Mengajar application and is classified using the Random Forest, SVM, and Naïve Bayes methods. The results of the classification show that the Random Forest algorithm is the best algorithm in predicting Merdeka Mengajar application user reviews compared to Naive Bayes and SVM.
Sistem Informasi Penilaian Kinerja Karyawan Metode Umpan Balik 360 Derajat Dandi Agih Kusdinar; Ruci Meiyanti; Yuwan Jumaryadi
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.9232

Abstract

ITS is a company engaged in the construction sector and routinely conducts employee performance assessments. However, the current assessment process is still subjective because it is only carried out by superiors without the involvement of other parties and without clear assessment criteria to support decision-making. This study aims to develop a web-based employee performance assessment information system by implementing the 360 ​​Degree Feedback method, which allows for comprehensive evaluations from various perspectives, including superiors, coworkers, and subordinates. The system development process uses the Waterfall method, which includes the stages of needs analysis, design, implementation, and testing. Problem analysis is carried out using the Fishbone method to identify the main causes of the ineffectiveness of the previous system. The system design is depicted through UML diagrams, while application development uses the Yii Framework and MySQL database. Functional testing of the system is carried out using the Black Box Testing method to ensure each feature runs as expected. The results of this study are a web-based employee performance assessment information system that assesses based on three main criteria: discipline, technical skills, and personality, resulting in a more objective, accurate, and comprehensive assessment.
Provincial-Level Dynamic Modeling of Climate Influence on Agriculture and Consumption: Case Studies in Central Java, East Java, Bali, and North Sumatra Ariyani Wardhana; Ruci Meiyanti; Handy Noviyarto; Kelik Budiana
Sainteknol : Jurnal Sains dan Teknologi Vol. 24 No. `1 (2026): `June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sainteknol.v24i`1.33623

Abstract

Indonesia’s agricultural sector is increasingly exposed to climate change, as shifts in rainfall, temperature, and humidity disrupt crop yields and farmer livelihoods. These disruptions weaken domestic supply and heighten reliance on external sources. To capture regional differences, this study examines East Java, Central Java, Bali, and North Sumatra, using a Power BI-based interactive dashboard to integrate climate indicators, production data, commodity prices, and consumption patterns from 2018 to 2021. The results highlight distinct provincial dynamics. In Bali, yields respond positively to humidity but decline with rainfall, while Central Java’s rice production is strongly shaped by rainfall variability. East Java’s horticultural crops are highly sensitive to humidity and temperature, and North Sumatra’s diversified systems show inverse effects from all three climate variables. Correlation analyses suggest that higher harvest yields slightly reduce commodity prices, particularly for rice, shallots, and garlic; the coefficients remain weak (–0.1 to –0.4), reflecting the role of transportation, market access, and trade pressures. By visualizing these relationships, the dashboard underscores interconnected vulnerabilities such as dependence on staple crops, reliance on imports, and affordability challenges. It also provides policymakers with a practical tool to monitor climate-related risks and price instability. Overall, the findings emphasize the need for integrated food security policies that combine climate science, crop management, and economic equity to support sustainable outcomes across Indonesia.
Co-Authors Afifah Fidaiyah Ariyani Wardhana Athiyyah Nisrina Mahsyar Azlina Ahmad Bagus Priambodo Bambang Jokonowo Bayu Waseso Dandi Agih Kusdinar Deden Tarmidi Difa Nur Rofi Difa Nur Rofi Fachroni Arbi Murad Faizal Zuli, Faizal Fajar Masya Fajriah, Riri Gushelmi Handy Noviyarto Jumaryadi, Yuwan Kelik Budiana Khoiri, Syakur Khoirul Anam Lukman Hakim Maulana, Goffari Muhammad Yusuf Bagus Rasyiidin Puji Rahayu Puspita Sari Anggraeni Rabiah Abdul Kadir Rievaldy Ardhyka Riri Fajriah Riri Fajriah Riri Fajriah Riri Fajriah Rudi Yanto, Rudi Salsa Nurul Laeli Samidi Samidi Santoso, Teguh Budi Yananto Mihadi Putra